IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/58611.html
   My bibliography  Save this paper

Empirical economywide modeling in argentina

Author

Listed:
  • mercado, p. ruben

Abstract

This article deals with the work carried out in Argentine institutions at the level of empirical economywide modeling, particularly in the fields of input-output and computable general equilibrium modeling, pointing out some limitations and proposing possible extensions.

Suggested Citation

  • mercado, p. ruben, 2003. "Empirical economywide modeling in argentina," MPRA Paper 58611, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58611
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/58611/1/MPRA_paper_58611.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kendrick, David A & Amman, Hans M, 1999. "Programming Languages in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 151-181, October.
    2. Harrison, Glenn W & Vinod, H D, 1992. "The Sensitivity Analysis of Applied General Equilibrium Models: Completely Randomized Factorial Sampling Designs," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 357-362, May.
    3. Alex R. Hoen, 2002. "Identifying Linkages with a Cluster-based Methodology," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 131-146, June.
    4. Mercado, P. Ruben & Kendrick, David A., 2000. "Caution in macroeconomic policy: uncertainty and the relative intensity of policy," Economics Letters, Elsevier, vol. 68(1), pages 37-41, July.
    5. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Book Chapters, in: Grant I. Thrall (ed.),Scientific Geography Series, pages 52, Regional Research Institute, West Virginia University.
    6. Harrison, Glenn W. & Jones, Richard & Kimbell, Larry J. & Wigle, Randal, 1993. "How robust is applied general equilibrium analysis?," Journal of Policy Modeling, Elsevier, vol. 15(1), pages 99-115, February.
    7. Seung-Rae Kim, 2004. "Uncertainty, Political Preferences, and Stabilization: Stochastic Control Using Dynamic CGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 24(2), pages 97-116, September.
    8. Arndt, Channing, 1996. "An Introduction To Systematic Sensitivity Analysis Via Gaussian Quadrature," Technical Papers 28709, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Dixon, Peter B. & Parmenter, B.R., 1996. "Computable general equilibrium modelling for policy analysis and forecasting," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 1, pages 3-85, Elsevier.
    10. Chisari, Omar O. & Romero, Carlos Adrián, 1996. "Distribución del ingreso, asignación de recursos y shocks macroeconómicos: un modelo de equilibrio general computado para la Argentina en 1993," Financiamiento para el Desarrollo 5238, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Shoven,John B. & Whalley,John, 1992. "Applying General Equilibrium," Cambridge Books, Cambridge University Press, number 9780521266550, November.
    12. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
    13. Chisari, Omar & Estache, Antonio & Romero, Carlos, 1999. "Winners and Losers from the Privatization and Regulation of Utilities: Lessons from a General Equilibrium Model of Argentina," The World Bank Economic Review, World Bank, vol. 13(2), pages 357-378, May.
    14. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Wholbk, Regional Research Institute, West Virginia University, number 11 edited by Grant I. Thrall, November-.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martín Cicowiez & Javier Alejo & Luciano Di Gresia & Sergio Olivieri & World Bank & Ana Pacheco, 2016. "Export Taxes, World Prices, and Poverty in Argentina: A Dynamic CGEMicrosimulation Analysis [model, Argentina. Classification-JEL: C68, D58, I38, E62]," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 24-54.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hertel, Thomas & Hummels, David & Ivanic, Maros & Keeney, Roman, 2007. "How confident can we be of CGE-based assessments of Free Trade Agreements?," Economic Modelling, Elsevier, vol. 24(4), pages 611-635, July.
    2. Joshua Elliott & Meredith Franklin & Ian Foster & Todd Munson & Margaret Loudermilk, 2012. "Propagation of Data Error and Parametric Sensitivity in Computable General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(3), pages 219-241, March.
    3. David Abler & Adrián Rodríguez & James Shortle, 1999. "Parameter Uncertainty in CGE Modeling of the Environmental Impacts of Economic Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(1), pages 75-94, July.
    4. Christine WIECK & Thomas I. WAHL, 2010. "The Modelling of an Open Regional Economy: Effects of Imports and Trade Liberalization," Regional and Urban Modeling 284100047, EcoMod.
    5. Hertel, Thomas, 2013. "Global Applied General Equilibrium Analysis Using the Global Trade Analysis Project Framework," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 815-876, Elsevier.
    6. Rose, Adam, 1995. "Input-output economics and computable general equilibrium models," Structural Change and Economic Dynamics, Elsevier, vol. 6(3), pages 295-304, August.
    7. Ha, Soo Jung & Hewings, Geoffrey & McGregor, Peter G & Swales, J Kim & Turner, Karen, 2010. "Econometric estimation of Armington import elasticities and their system-wide impact in a regional CGE model of the Illinois economy," Stirling Economics Discussion Papers 2010-19, University of Stirling, Division of Economics.
    8. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    9. mercado, p. ruben & porta, fernando, 2012. "Development planning in the xxi century? a note on old and new methods and tools," MPRA Paper 58610, University Library of Munich, Germany.
    10. Christine Wieck & David Holland, 2010. "The economic effect of the Canadian BSE outbreak on the US economy," Applied Economics, Taylor & Francis Journals, vol. 42(8), pages 935-946.
    11. Touhami Abdelkhalek & Jean-Marie Dufour, 1998. "Statistical Inference For Computable General Equilibrium Models, With Application To A Model Of The Moroccan Economy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 520-534, November.
    12. T. Chatzivasileiadis & F. Estrada & M. W. Hofkes & R. S. J. Tol, 2019. "Systematic Sensitivity Analysis of the Full Economic Impacts of Sea Level Rise," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1183-1217, March.
    13. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
    14. H. Allen Klaiber & V. Kerry Smith, 2013. "Developing general equilibrium benefit analyses for social programs: an introduction and example," Chapters, in: Scott O. Farrow & Richard Zerbe, Jr. (ed.), Principles and Standards for Benefit–Cost Analysis, chapter 6, pages 194-246, Edward Elgar Publishing.
    15. P. Ruben Mercado, 2004. "The Timing of Uncertainty and the Intensity of Policy," Computational Economics, Springer;Society for Computational Economics, vol. 23(4), pages 303-313, June.
    16. Aroca, Patricio & Atienza, Miguel, 2011. "Economic implications of long distance commuting in the Chilean mining industry," Resources Policy, Elsevier, vol. 36(3), pages 196-203, September.
    17. Glenn W. Harrison & Thomas F. Rutherford & David G. Tarr, 2005. "Chile´s Regional Arrangements: The Importance of Market Access and Lowering the Tariff to Six Percent," Central Banking, Analysis, and Economic Policies Book Series, in: Rómulo A. Chumacero & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (S (ed.),General Equilibrium Models for the Chilean Economy, edition 1, volume 9, chapter 9, pages 303-344, Central Bank of Chile.
    18. Kowalewski, Julia, 2009. "Methodology of the input-output analysis," HWWI Research Papers 1-25, Hamburg Institute of International Economics (HWWI).
    19. Cristina Cattaneo, 2008. "The Determinants of Actual Migration and the Role of Wages and Unemployment in Albania: an Empirical Analysis," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 5(1), pages 3-32, June.
    20. Nabil Annabi & John Cockburn & Bernard Decaluwé, 2006. "Functional Forms and Parametrization of CGE Models," Working Papers MPIA 2006-04, PEP-MPIA.

    More about this item

    Keywords

    argentina; input output models; computable general equilibrium models;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:58611. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.